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The Challenge

The goal was to provide a coherent, intuitive interface that enabled merchandisers to efficiently navigate between tools, surface the most relevant AI-driven insights, and take action on them in real time.

The Challenge

The goal was to provide a coherent, intuitive interface that enabled merchandisers to efficiently navigate between tools, surface the most relevant AI-driven insights, and take action on them in real time.

The Challenge

The goal was to provide a coherent, intuitive interface that enabled merchandisers to efficiently navigate between tools, surface the most relevant AI-driven insights, and take action on them in real time.

Overwhelming Data

Loomi’s AI-driven insights generated a large volume of actionable data, but users struggled to surface the most critical information quickly.

Difficult Navigation

As the number of features expanded, it became harder for users to locate relevant tools and insights.

Fragmented UI

Inconsistent design patterns across the dashboard, added over time, created a fragmented experience that detracted from user engagement and productivity.

Overwhelming Data

Loomi’s AI-driven insights generated a large volume of actionable data, but users struggled to surface the most critical information quickly.

Difficult Navigation

As the number of features expanded, it became harder for users to locate relevant tools and insights.

Fragmented UI

Inconsistent design patterns across the dashboard, added over time, created a fragmented experience that detracted from user engagement and productivity.

Overwhelming Data

Loomi’s AI-driven insights generated a large volume of actionable data, but users struggled to surface the most critical information quickly.

Difficult Navigation

As the number of features expanded, it became harder for users to locate relevant tools and insights.

Fragmented UI

Inconsistent design patterns across the dashboard, added over time, created a fragmented experience that detracted from user engagement and productivity.

Design Process

Harnessing AI-driven insights within a scalable, intuitive interface. The design focused on two key principles: clarity and actionability. By organizing information clearly and guiding users through a well-structured workflow, we aimed to make the power of Loomi’s AI more accessible and actionable.

Design Process

Harnessing AI-driven insights within a scalable, intuitive interface. The design focused on two key principles: clarity and actionability. By organizing information clearly and guiding users through a well-structured workflow, we aimed to make the power of Loomi’s AI more accessible and actionable.

Design Process

Harnessing AI-driven insights within a scalable, intuitive interface. The design focused on two key principles: clarity and actionability. By organizing information clearly and guiding users through a well-structured workflow, we aimed to make the power of Loomi’s AI more accessible and actionable.

Sidebar Navigation

A persistent sidebar was introduced to house the main navigation elements, including direct access to AI-driven insights from Loomi. This sidebar organized tools like analytics, merchandising, site search, and trending product insights, allowing users to easily access key features in one place. Custom icons were designed to build a cohesive visual design language.

Sidebar Navigation

A persistent sidebar was introduced to house the main navigation elements, including direct access to AI-driven insights from Loomi. This sidebar organized tools like analytics, merchandising, site search, and trending product insights, allowing users to easily access key features in one place. Custom icons were designed to build a cohesive visual design language.

Sidebar Navigation

A persistent sidebar was introduced to house the main navigation elements, including direct access to AI-driven insights from Loomi. This sidebar organized tools like analytics, merchandising, site search, and trending product insights, allowing users to easily access key features in one place. Custom icons were designed to build a cohesive visual design language.

AI-Powered Content Area

The main content area was designed to surface the most critical AI-driven insights, ensuring users could easily digest and act on the data presented. By adopting a clean, action-oriented layout, we made sure that the interface stayed intuitive despite the complexity of the data.

AI-Powered Content Area

The main content area was designed to surface the most critical AI-driven insights, ensuring users could easily digest and act on the data presented. By adopting a clean, action-oriented layout, we made sure that the interface stayed intuitive despite the complexity of the data.

AI-Powered Content Area

The main content area was designed to surface the most critical AI-driven insights, ensuring users could easily digest and act on the data presented. By adopting a clean, action-oriented layout, we made sure that the interface stayed intuitive despite the complexity of the data.

AI-Driven Insights at the Forefront: Loomi’s AI surfaces trending products, highlights opportunities for improvement, and provides performance metrics—all displayed in a clear, engaging manner. These insights are contextual and directly tied to the merchandiser’s workflow.

Action-Oriented Workflow: For each insight surfaced by Loomi, the dashboard suggests the next action, whether it’s adjusting the recommendation strategy, reordering products, or updating search parameters. This workflow reduces cognitive load and allows users to act on insights without delay.

AI-Driven Insights at the Forefront: Loomi’s AI surfaces trending products, highlights opportunities for improvement, and provides performance metrics—all displayed in a clear, engaging manner. These insights are contextual and directly tied to the merchandiser’s workflow.

Action-Oriented Workflow: For each insight surfaced by Loomi, the dashboard suggests the next action, whether it’s adjusting the recommendation strategy, reordering products, or updating search parameters. This workflow reduces cognitive load and allows users to act on insights without delay.

AI-Driven Insights at the Forefront: Loomi’s AI surfaces trending products, highlights opportunities for improvement, and provides performance metrics—all displayed in a clear, engaging manner. These insights are contextual and directly tied to the merchandiser’s workflow.

Action-Oriented Workflow: For each insight surfaced by Loomi, the dashboard suggests the next action, whether it’s adjusting the recommendation strategy, reordering products, or updating search parameters. This workflow reduces cognitive load and allows users to act on insights without delay.

Challenges and Compromises

Balancing powerful AI features with usability and performance. The biggest challenge was managing the sheer volume of data generated by Loomi’s AI and ensuring that users could engage with this data without feeling overwhelmed. Initially, we considered building complex data visualizations, such as interactive maps to show buyer locations, but technical constraints and the need for a scalable, quick-to-implement solution led us to opt for simpler, more effective alternatives.

Challenges and Compromises

Balancing powerful AI features with usability and performance. The biggest challenge was managing the sheer volume of data generated by Loomi’s AI and ensuring that users could engage with this data without feeling overwhelmed. Initially, we considered building complex data visualizations, such as interactive maps to show buyer locations, but technical constraints and the need for a scalable, quick-to-implement solution led us to opt for simpler, more effective alternatives.

Challenges and Compromises

Balancing powerful AI features with usability and performance. The biggest challenge was managing the sheer volume of data generated by Loomi’s AI and ensuring that users could engage with this data without feeling overwhelmed. Initially, we considered building complex data visualizations, such as interactive maps to show buyer locations, but technical constraints and the need for a scalable, quick-to-implement solution led us to opt for simpler, more effective alternatives.

Talking to Customers

Leveraging user feedback to fine-tune workflows. Understanding the needs of merchandisers was essential for this redesign, especially since the addition of AI-driven insights had the potential to overwhelm or confuse users if not presented properly. Through user interviews, we discovered several key insights:

Talking to Customers

Leveraging user feedback to fine-tune workflows. Understanding the needs of merchandisers was essential for this redesign, especially since the addition of AI-driven insights had the potential to overwhelm or confuse users if not presented properly. Through user interviews, we discovered several key insights:

Talking to Customers

Leveraging user feedback to fine-tune workflows. Understanding the needs of merchandisers was essential for this redesign, especially since the addition of AI-driven insights had the potential to overwhelm or confuse users if not presented properly. Through user interviews, we discovered several key insights:

Surface Relevant Data

Users wanted Loomi’s AI to focus on surfacing the most actionable data, like daily sales trends, product performance, and real-time recommendations. The data needed to be immediately visible without requiring users to dig for it.

Customization Needs

Merchandisers also wanted the ability to customize which AI insights were prioritized on their dashboards, allowing them to tailor their experience to their unique business goals.

Simplified Data Views

While interactive data visualizations were planned, we initially scoped them down to easy-to-read charts and tables, which conveyed key information such as top-performing products and regional performance trends.

Surface Relevant Data

Users wanted Loomi’s AI to focus on surfacing the most actionable data, like daily sales trends, product performance, and real-time recommendations. The data needed to be immediately visible without requiring users to dig for it.

Customization Needs

Merchandisers also wanted the ability to customize which AI insights were prioritized on their dashboards, allowing them to tailor their experience to their unique business goals.

Simplified Data Views

While interactive data visualizations were planned, we initially scoped them down to easy-to-read charts and tables, which conveyed key information such as top-performing products and regional performance trends.

Surface Relevant Data

Users wanted Loomi’s AI to focus on surfacing the most actionable data, like daily sales trends, product performance, and real-time recommendations. The data needed to be immediately visible without requiring users to dig for it.

Customization Needs

Merchandisers also wanted the ability to customize which AI insights were prioritized on their dashboards, allowing them to tailor their experience to their unique business goals.

Simplified Data Views

While interactive data visualizations were planned, we initially scoped them down to easy-to-read charts and tables, which conveyed key information such as top-performing products and regional performance trends.

Key Outcomes

• Reduced Drop-Off Rates: With AI-driven insights front and center, users now spend more time interacting with data, resulting in fewer drop-offs, particularly on mobile. • Enhanced Workflow Efficiency: By providing action-oriented insights, users can now act on recommendations and performance metrics faster, improving their overall workflow.

Key Outcomes

• Reduced Drop-Off Rates: With AI-driven insights front and center, users now spend more time interacting with data, resulting in fewer drop-offs, particularly on mobile. • Enhanced Workflow Efficiency: By providing action-oriented insights, users can now act on recommendations and performance metrics faster, improving their overall workflow.

Key Outcomes

• Reduced Drop-Off Rates: With AI-driven insights front and center, users now spend more time interacting with data, resulting in fewer drop-offs, particularly on mobile. • Enhanced Workflow Efficiency: By providing action-oriented insights, users can now act on recommendations and performance metrics faster, improving their overall workflow.

Conclusion

Empowering merchandisers with AI-driven insights in an intuitive, action-oriented dashboard. While the redesigned dashboard has been well received, there are additional improvements we aim to make. We’re planning to introduce further customization options that allow users to tailor the AI insights to their specific business needs, along with more advanced filtering capabilities for the data. We’re also working on incorporating real-time, in-app notifications based on AI-driven insights to provide an even more seamless experience.

Conclusion

Empowering merchandisers with AI-driven insights in an intuitive, action-oriented dashboard. While the redesigned dashboard has been well received, there are additional improvements we aim to make. We’re planning to introduce further customization options that allow users to tailor the AI insights to their specific business needs, along with more advanced filtering capabilities for the data. We’re also working on incorporating real-time, in-app notifications based on AI-driven insights to provide an even more seamless experience.

Conclusion

Empowering merchandisers with AI-driven insights in an intuitive, action-oriented dashboard. While the redesigned dashboard has been well received, there are additional improvements we aim to make. We’re planning to introduce further customization options that allow users to tailor the AI insights to their specific business needs, along with more advanced filtering capabilities for the data. We’re also working on incorporating real-time, in-app notifications based on AI-driven insights to provide an even more seamless experience.

Overview

Research/Strategy

Design/Production

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